Philip J Batterham1, Jacqueline L Brewer2, Angeline Tjhin2, Matthew Sunderland3, Natacha Carragher3, Alison L Calear2. 1. National Institute for Mental Health Research, Research School of Population Health, The Australian National University, 63 Eggleston Road, Acton, ACT 2601, Australia. Electronic address: philip.batterham@anu.edu.au. 2. National Institute for Mental Health Research, Research School of Population Health, The Australian National University, 63 Eggleston Road, Acton, ACT 2601, Australia. 3. NHMRC Centre of Research Excellence in Mental Health and Substance Use, University of New South Wales, 22-32 King Street, Randwick, NSW 2052, Australia.
Abstract
OBJECTIVES: Given high rates of comorbidity among mental disorders, better methods to rapidly screen across multiple mental disorders are needed. Building on existing Patient Reported Outcomes Measurement Information System (PROMIS) item banks, the present study aimed to select items to assess panic disorder, social anxiety disorder, obsessive-compulsive disorder, posttraumatic stress disorder, adult attention-deficit hyperactivity disorder, substance use disorder, suicidal thoughts and behaviors, and psychosis. STUDY DESIGN AND SETTING: A four-stage process to select items involved systematic literature searches, item refinement and standardization, obtaining feedback from consumers and experts, and reduction of item pools in preparation for calibration in a population-based sample. RESULTS: From 6,900 items collected across the eight mental health conditions, 2,002 were standardized and rated by small groups of consumers and experts. Expert ratings of item relevance tended to correlate moderately with consumer ratings, with variation across conditions. An algorithm was used to generate final item pools ranging from 45 to 75 items. CONCLUSION: The study successfully applied a systematic process to select items for assessing a range of mental disorders. This process for item selection may be applied to additional mental and physical health conditions. The calibration of the present item pools into final item banks will enable the development of flexible measures to assess risk of mental health problems, although more effectively accounting for comorbidity.
OBJECTIVES: Given high rates of comorbidity among mental disorders, better methods to rapidly screen across multiple mental disorders are needed. Building on existing Patient Reported Outcomes Measurement Information System (PROMIS) item banks, the present study aimed to select items to assess panic disorder, social anxiety disorder, obsessive-compulsive disorder, posttraumatic stress disorder, adult attention-deficit hyperactivity disorder, substance use disorder, suicidal thoughts and behaviors, and psychosis. STUDY DESIGN AND SETTING: A four-stage process to select items involved systematic literature searches, item refinement and standardization, obtaining feedback from consumers and experts, and reduction of item pools in preparation for calibration in a population-based sample. RESULTS: From 6,900 items collected across the eight mental health conditions, 2,002 were standardized and rated by small groups of consumers and experts. Expert ratings of item relevance tended to correlate moderately with consumer ratings, with variation across conditions. An algorithm was used to generate final item pools ranging from 45 to 75 items. CONCLUSION: The study successfully applied a systematic process to select items for assessing a range of mental disorders. This process for item selection may be applied to additional mental and physical health conditions. The calibration of the present item pools into final item banks will enable the development of flexible measures to assess risk of mental health problems, although more effectively accounting for comorbidity.
Authors: Matthew Sunderland; Philip J Batterham; Alison L Calear; Natacha Carragher Journal: Int J Methods Psychiatr Res Date: 2017-04-03 Impact factor: 4.035
Authors: Miriam K Forbes; Matthew Sunderland; Ronald M Rapee; Philip J Batterham; Alison L Calear; Natacha Carragher; Camilo Ruggero; Mark Zimmerman; Andrew J Baillie; Samantha J Lynch; Louise Mewton; Tim Slade; Robert F Krueger Journal: Clin Psychol Sci Date: 2021-02-19